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Johannes Kepper

PROFILE

Johannes Kepper

Worked extensively on the BeethovensWerkstatt/data repository, delivering robust features and fixes for music encoding, transcription workflows, and data integrity. Over 14 months, developed and maintained XML-based pipelines for diplomatic and annotated transcripts, implemented schema extensions, and enhanced rendering fidelity for musical notation. Leveraged C++, Python, and XSLT to automate data processing, enforce data validation, and streamline archival workflows. Addressed complex challenges in data modeling, multi-layout support, and cross-document linking, while maintaining rigorous version control and repository hygiene. The work improved metadata consistency, enabled scalable annotation, and ensured reliable downstream integration for musicological research and digital edition projects.

Overall Statistics

Feature vs Bugs

53%Features

Repository Contributions

216Total
Bugs
37
Commits
216
Features
42
Lines of code
971,085
Activity Months14

Your Network

7 people

Work History

March 2026

2 Commits • 1 Features

Mar 1, 2026

March 2026 monthly summary for BeethovensWerkstatt/data focusing on metadata quality improvements for Notirungsbuch K and preparation for downstream catalog integrations.

December 2025

9 Commits • 2 Features

Dec 1, 2025

December 2025: Delivered major enhancements to the Beethoven corpus in BeethovensWerkstatt/data, focusing on annotated and diplomatic transcripts, edition taxonomy, and UI reliability. Key features include: Beethoven Annotated and Diplomatic Transcripts Enhancements, which expanded the XML data model with new elements/attributes, added a diplomatic transcript linked to annotated transcripts, and updated XSLT to align with the current data model and improve encoding compatibility and accessibility (e.g., NK 20/4 and related transcripts). Annotation Relationships and Module 4 Edition Taxonomy established explicit relationships between musical works and annotations and introduced a Module 4 XML encoding/structure taxonomy for the Beethoven edition. Graphics and Linking Fixes for Transcript UI corrected visualization by adjusting the graphic element height and fixed links to annotated transcripts. Major bugs fixed include UI rendering issues and broken transcript links, reflected in targeted commits for XYWH adjustments and link fixes. Overall impact: improved data integrity, richer annotation capabilities, and more reliable rendering and navigation in the Beethoven corpus, enabling better search, curation, and edition governance. Technologies/skills demonstrated: XML schema extensions, XSLT updates, data modeling for relationships, UI linking accuracy, and disciplined version control across three feature areas.

November 2025

7 Commits • 2 Features

Nov 1, 2025

BeethovensWerkstatt/data monthly summary for 2025-11: Delivered tangible improvements to the music encoding pipeline, focusing on data integrity, readability, and processing efficiency. Highlights include bug fixes to notation rendering, enhancements to octave encoding, and the introduction of XSLT-driven data transformations, along with cleanup of transcription artifacts to reduce maintenance overhead and risk of transcription errors.

October 2025

11 Commits • 2 Features

Oct 1, 2025

BeethovensWerkstatt/data: October 2025 monthly summary focused on delivering visualization improvements, data integrity, and transcript enhancements with a strong emphasis on business value and maintainability.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for BeethovensWerkstatt/data: Delivered initial Word-Level Support in the music encoding framework. Implemented new elements and attributes for word representation and editing in musical texts, enabling word-level encoding workflows. This work preserves backward compatibility with the existing encoding schema and lays the groundwork for downstream capabilities such as word-level search and editing. No major bugs reported this month.

August 2025

2 Commits

Aug 1, 2025

August 2025 highlights for BeethovensWerkstatt/data: delivered two high-impact data-quality fixes that strengthen data reliability and FX alignment. Key achievements include the XML Data Integrity and Accessibility Fix and the Chord-Note Data Consistency with FX Behavior. Impact: reduces downstream data errors, improves accessibility, and provides a more maintainable data model for FX-driven features. Technologies demonstrated include XML data handling, data modeling, version control discipline, and collaboration with FX stakeholders.

July 2025

3 Commits • 1 Features

Jul 1, 2025

BeethovensWerkstatt/data — July 2025 monthly summary. Focused on data integrity and schema evolution to support cross-system requirements. Implemented targeted XML fixes and extended the XML schema to accommodate a second system, documented with explicit commits and clear intent. These changes improve data reliability, interoperability, and future scalability of the data pipeline.

June 2025

4 Commits • 2 Features

Jun 1, 2025

June 2025 monthly summary for BeethovensWerkstatt/data: Deliveries centered on data integrity, user data rights, and notation rendering fidelity. Implemented user-facing transcription deletion with end-to-end data cleanup and XML updates, and refined BarLine XML positioning to improve notation display. These changes enhance data governance, privacy compliance, and reliability of downstream processing and UI rendering.

May 2025

21 Commits • 4 Features

May 1, 2025

2025-05 monthly highlights for BeethovensWerkstatt/data: Delivered key features, fixed critical data integrity issues, and improved infrastructure and rendering quality. Achievements include diplomatic transcription generation for two XML files, IIIF server replacement, and barline rendering tests, complemented by a substantial set of repo hygiene fixes (path/trailing slash corrections, file renames, beamSpans/staff corrections) and defensive fixes for IDs and XML references. These workstreams collectively reduce manual rework, improve archival accuracy, and enable more reliable deployment pipelines.

April 2025

87 Commits • 11 Features

Apr 1, 2025

April 2025 (BeethovensWerkstatt/data): Delivered substantial progress in transcription workflow, focusing on diplomatic transcripts, multi-page annotation tracking, and system/layout fidelity. Key features include the introduction of diplomatic transcripts and symlinks for Engelmann and Grasnick documents, initialization and ongoing progression of a multi-page Annotation Transcript (AT) across NK references, and continuation of long document sequences (83/1 through 87/5). Supporting work included mid-document monster initialization (steps 1-5) and targeted layout improvements such as pagebreak insertion at 66/3 and staves-per-system adjustments. Alongside these features, a broad set of bug fixes stabilized layout, system ordering, and XML integrity across modules. The work enhances data accessibility, rendering reliability, and maintainability, enabling scalable annotation workflows and reliable cross-document linking for downstream analyses.

March 2025

16 Commits • 5 Features

Mar 1, 2025

In March 2025, BeethovensWerkstatt/data delivered a focused set of features and data-model improvements that significantly enhance access to diplomatic transcripts, strengthen data integrity, and lay groundwork for scalable AT data workflows. The work also improved navigation reliability and prepared the data pipeline for an XML-based architecture, translating into quicker access to primary sources, more reliable cross-referencing, and a maintainable foundation for future expansions.

December 2024

15 Commits • 3 Features

Dec 1, 2024

December 2024 monthly summary for BeethovensWerkstatt/data. The team delivered end-to-end diplomatic transcript integration across multiple XML sources, enhanced musical note transcription, and reinforced data integrity while maintaining a clean development workflow. The work aligns with business goals of accurate diplomacy content management, faster data availability, and reduced manual validation.

November 2024

29 Commits • 4 Features

Nov 1, 2024

In November 2024, BeethovensWerkstatt/data delivered end-to-end diplomatic transcription generation across multiple layouts (wz03, wz04, wz06) with corresponding XML adjustments for Engelmann content, enabling automated production of diplomatic transcripts. Expanded transcription coverage to multiple staffs (including p005 across wz01, wz07, wz06) with initial-measures transcription and staff completion, accelerating multi-staff archival workflows. Implemented substantial notation enhancements (notes, shapes, chords, barlines, accidentals) and introduced barLines with validation across layouts. Fixed key issues in rendering and mapping (diploTab chord references; end barLine handling) and updated initialization to accommodate new test data space. Overall, these efforts increased automation, layout fidelity, and multi-layout/multi-staff scalability, reducing manual editing and enabling faster delivery of high-precision transcripts for archival projects.

October 2024

9 Commits • 4 Features

Oct 1, 2024

October 2024 monthly summary for BeethovensWerkstatt/data: Delivered key features for structured XML transcription workflows, enhanced data modeling for accounts/identifiers, and established a solid testing foundation. The work improves data quality, metadata consistency, and faster, safer feature delivery with automated tests.

Activity

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Quality Metrics

Correctness91.2%
Maintainability87.8%
Architecture87.0%
Performance86.8%
AI Usage22.0%

Skills & Technologies

Programming Languages

CC++GoHTMLJSONJavaScriptMakefilePythonSQLSVG

Technical Skills

Backend DevelopmentBug FixingBuild SystemsC ProgrammingC++ DevelopmentCI/CDCode CleanupCode RefactoringData CleaningData EngineeringData HandlingData ManagementData ModelingData ProcessingData Structuring

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

BeethovensWerkstatt/data

Oct 2024 Mar 2026
14 Months active

Languages Used

JSONSQLShellXMLXSLTC++GoJavaScript

Technical Skills

Data CleaningData EngineeringData ProcessingDatabase ManagementTestingText Encoding